Azure Databricks Architect (Locals)

Role Summary:
Lead the design development and optimization of enterprisescale data platforms and analytics solutions using Azure Databricks Drive data engineering best practices mentor team members and collaborate with business stakeholders to deliver scalable secure and highperformance data solutions This aligns with Chevrons Azurebased Data Analytics ecosystem

Key Responsibilities:

• Lead the development of scalable data pipelines and ETLELT frameworks using Azure Databricks and PySpark
• Architect and optimize data ingestion transformation and consumption layers
• Design data models data dictionaries and reusable data products
• Implement data governance quality security and compliance standards
• Optimize Spark workloads Databricks jobs and overall platform performance
• Collaborate with business users data scientists and crossfunctional teams to translate requirements into technical solutions
• Mentor and guide data engineers and junior team members
• Drive CICD automation and DevOps best practices for data platforms
• Support Data Lakehouse architecture and enterprise analytics initiatives

Required Skills:

• Azure Databricks
• PySpark Apache Spark
• Python
• SQL TSQL
• Azure Data Factory ADF
• Azure Data Lake Storage ADLS
• Azure Synapse Analytics
• Delta Lake
• Databricks Workflows
• Data Modeling Data Warehousing
• Azure DevOps
• Data Governance Security
• Performance Tuning and Optimization
• CICD and Automation Frameworks

Experience:

• 10 years in Data Engineering Data Platform delivery
• Strong experience leading Azurebased cloud data transformation programs
• Proven expertise in enterprisescale Databricks implementations
• Experience mentoring teams and driving technical governance

Preferred Skills:

• Unity Catalog
• Airflow
• Power BI
• Lakehouse Architecture
• DataOpsMLOps exposure
• Stakeholder management and clientfacing communication

Mandatory Skills: Databricks